Microsoft Azure Event Hub is a highly scalable data streaming platform that can ingest and process millions of events per second. With the ability to deliver pub sub messaging capabilities at massive scale with low latency, Azure Event Hub is an essential tool for Big Data analytics.

But managing real-time data ingestion with Azure Event Hub can be challenging for IT teams. The potential negative impact on source systems is high. Complex custom development is often required, making it difficult to scale to support a large number of data sources.

That’s why so many organizations working with Azure Event Hub have also chosen Qlik Replicate to help process real-time data streams more efficiently.

Qlik Replicate®: simplifying real-time ingestion with Azure Event Hub

Qlik Replicate manages the challenges of data streaming with Azure Event Hub by leveraging low-impact CDC technology to enable efficient, real-time and scalable data ingestion from many source database systems. Providing automated and universal data integration across all major data lakes, databases, streaming systems, data warehouses and mainframe systems, Qlik Replicate enables organizations to deliver more data more easily, empowering businesses with agile analytics while minimizing time and expense.

In addition to Azure Event Hub, Qlik Replicate makes it easy to publish events to all major streaming services, enabling administrators to compare the benefits of platforms like Kafka and Confluent or Google Pub Sub vs. Kinesis vs. MapR-ES. Regardless of platform, administrators can support multi-partition and multi-topic streaming along with flexible JSON an AVRO file formats. Administrators can also separate data and metadata and send to Kafka topic to integrate metadata more easily with different schema registries.

Benefits of Qlik Replicate for Azure Event Hub

When using Qlik Replicate to simplify data ingestion with Azure Event Hub, organizations can:

• Minimize impact on source systems with log-based Change Data Capture (CDC) technology and a zero-footprint architecture that requires no agents to be installed on source databases.
• Improve real-time data capture by feeding live database changes to Azure Event Hub message brokers with low latency.
• Simplify data ingestion with an intuitive and configurable graphical user interface that lets administrators set up data feeds quickly and easily with no manual coding required.
• Scale easily to ingest data from hundreds or thousands of databases.
• Centralize analytics on a single platform that supports multiple sources, including all major RDBMS, data warehouses and mainframe systems.